Methodology
Editorial Standards
The Revenue AI Report publishes independent weekly analysis of AI in B2B revenue organizations. This page is the methodological companion to the editorial standards at /editorial-standards: how sources, verification, conflicts, corrections, and data are handled.
By Jonathan Kvarfordt, Founder and Principal Analyst
What The Revenue AI Report is
An independent weekly publication covering AI in B2B revenue organizations: what works, what fails, what got shut off, and what it cost. Written for revenue executives and operators at director level and above.
What an issue contains
- One lead analysis
- The Reversal Ledger: new named reversals with reason and cost
- The Proof Gap Index: quarterly updates in benchmark issues
- One framework in use: applied to a named situation
- One operator interview: named role, anonymized company where required
Source policy
- Named operator sources are protected under NDA where requested
- Company details may be anonymized; tool names are not
- Finance records shared under confidentiality are used for verification, not publication
- No single-source claims are published as fact
Verification standard
Every quantitative claim requires two independent inputs. Every named tool in the Reversal Ledger requires vendor notice and right of reply before publication. Every framework is published with its full methodology.
Vendor relations and conflicts
The editor has personal and professional relationships with individuals at companies covered by this publication, including Momentum, Salesforce, 1mind, and others. These relationships are disclosed here and do not include compensation for coverage.
Sponsors have no input into editorial content. One sponsor per issue; sponsorship is disclosed in the issue. Sponsors do not see content before publication. Vendors covered in the Reversal Ledger receive advance notice of named entries and a published right of reply.
Corrections
Corrections are published in the next issue and noted on the corrected page. The corrections policy is at /corrections.
Data availability
All datasets behind published claims are available at /data under CC BY 4.0 with attribution to The Revenue AI Report. Frameworks and methodologies are published with full definitions so that outside teams can replicate the measurements.
Frequently asked questions
What is The Revenue AI Report?
An independent weekly publication covering AI in B2B revenue organizations: what works, what fails, what got shut off, and what it cost. Written for revenue executives and operators.
Who writes The Revenue AI Report?
Jonathan Kvarfordt, founder and editor. Analyst covering AI in B2B revenue organizations.
How is The Revenue AI Report funded?
Subscriptions and one sponsor per issue. Sponsors have no input into editorial content.
How are sources protected?
Named operator sources are protected under NDA where requested. Company details may be anonymized; tool names are not. Finance records shared under confidentiality are used for verification, not publication.
How do I submit a correction?
Through /contact. Verified corrections publish in the next issue and are noted on the corrected page.
Related
Editorial standards · Corrections policy · Ethics policy · Datasets